Acer Nitro AN515-58
Geekbench AI Score
9418
Single Precision Score
16864
Half Precision Score
6784
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | torpedo098 |
| Upload Date | October 16 2025 03:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-58 |
| Motherboard | ADL Jimny_ADH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3791
705.1 IPS |
|
|
Image Classification (HP)
|
99% |
7092
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
3220
600.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9994
162.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5193
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
41076
47.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
114175
133.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
35044
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4572
362.7 IPS |
|
|
Object Detection (HP)
|
100% |
8251
654.5 IPS |
|
|
Object Detection (Q)
|
84% |
3940
317.8 IPS |
|
|
Face Detection (SP)
|
100% |
10303
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
18339
217.9 IPS |
|
|
Face Detection (Q)
|
97% |
8629
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22761
175.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44955
346.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
17172
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
69833
89.8 IPS |
|
|
Style Transfer (HP)
|
100% |
188552
242.4 IPS |
|
|
Style Transfer (Q)
|
98% |
58357
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13015
480.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22866
844.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8317
308.0 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2704
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1131
21.2 IPS |
